Posts tagged "environnement"

Toward a Data Lake

Context Presentation

neOCampus is a large operation with different kinds of projects and actors. Started in 2013, its goal is to improve the university campus user’s everyday life through data analysis for people, fluid consummation reduction, reduce building environmental footprint, etc.… Overall, it tends to make the campus smarter. All those projects have one common point: data. Including images, sensor logs, administrative data, configurations, we can find every kind of data and each must be stored somewhere.

This project is centered around this problem with a data management system architecture which is the data lake.The conception of this kind of solution must include handling every kind of data and making it possible to follow the life of a data from the input to the usage in a project. It does not only have to store every kind of data, it is needed to know what is stored, where and in the proper format to use it in the easiest way. When a new data has arrived, the system will automatically rawly store it, find the more valuable format, extract information from this data and make this knowledge available for any purpose.

datalake - Vincent-Nam Dang

 Keywords

Data Lake, Data Driven Project, Big Data, Data Management, Data Analysis

Scientific goal

•    To develop a datalake architecture to change the architecture of the data management system in neOCampus.

Contacts

dang.vincentnam@gmail.com, françois.thiebolt@irit.fr, olivier.teste@irit.fr

Study of Environmental and Socio-Economical Impacts of Lighting Systems

Context Presentation

When it comes to evaluate the quantifiable effects of products or services on the environment, Life Cycle Assessment (LCA) is probably the most efficient and recognized tool. Thanks to a “cradle to grave” approach, LCA identifies and quantifies, throughout the life of products, the physical flows of matter and energy associated with human activities (extraction of raw materials, manufacturing of the product, distribution, use, collection and disposal towards end-of-life). For each of its flows correspond impact indicators which allow to establish the overall potential impact of the system on our environment. With regard to lighting, “smart” technologies have made it possible to improve energy efficiency during use phase and thus greatly limit its impact on the environment.

Before the development of these new technologies, lighting represented 14% of European consumption and 19% of global electricity consumption (2009). Today, the UNEP (United Nations Environment Program) estimates it at 15 % worldwide (2,940 TWh) for 5% of global greenhouse gas emissions (1,150 million tonnes of CO2). However, despite major advances in terms of energy efficiency, many direct or indirect impacts on our environment, our health, well-being and productivity are not considered, and we can no longer neglect these impacts.

It is then necessary to define a new methodology, which will allow the extension of the classic LCA by taking into account several health and social criteria, in particular regarding the potential ”impacts on human” ( blue light and impacts on circadian rhythms); the "impacts on ecosystems" (light pollution, potential impacts on insects and plants population); the several “uses of light” (residential, commercial, public lighting, etc.); or even "social acceptability on and by the user of the system" (security, comfort, working conditions, etc.). The aggregation of these criteria, with a classic life cycle assessment and a life cycle cost analysis (cumulative cost of a product throughout its life cycle), will give a global vision (economic, social and environmental) of the potential impacts of lighting and will helps to offer a decision support tool for establishing coherent and appropriate strategies around the transformation of our lighting systems.

 light-bulbs - Kévin BERTIN

Keywords

Life Cycle Assessment, LED, Lighting Systems, Environmental Impacts

Scientific goal

•    Evaluating the global impacts of lighting technologies, and helping the decision making regarding lighting strategies.

Contact

kevin.bertin@laplace.univ-tlse.fr

ECONECT: Developing connected environmental sentinel systems to better understand the degradation of rivers, the decline of bees and birds

Context Presentation

The ECONECT project began in early 2020, with the objective to develop a communication infrastructure allowing the remote monitoring of autonomous, connected, and versatile systems to measure the responses of bioindicator organisms to chemical contamination, habitat degradation and global warming.

Three sentinel systems are considered:(1) the connected hive, allowing to monitor the dynamics of bee colonies (colony mass, temperature and location of the bee cluster, foraging traffic, etc.) and the cognitive capacities of bees; (2) the connected bird-feeder to submit individually monitored tits to behavioral tests to assess their cognitive abilities; (3) the aquacosm, a floating enclosure allowing the measurement of eco-markers in an aquatic environment (growth dynamics of phototrophic biofilms, relative importance of autotrophic and heterotrophic processes within the ecosystem ...).

In 2022, a network of 12 sentinel stations will be deployed in the Zone Atelier Pyrénées-Garonne (PYGAR). Each station will be characterized by a spatial analysis of land use and the quality of habitats and by the measurement of concentrations of chemical contaminants (trace metal elements, PAHs, pesticides) in different compartments of the environment. Participatory science protocols will be used to supplement the available data set and to assist in the interpretation of observed trends, while providing environmental education opportunities for the public.

schema (EN) - Arnaud Elger

Keywords

Environmental sensor; Bioindicator; Animal cognition; Chemical status; Landscape integrity; Artificial intelligence

Scientific goals

•    to design a communicating infrastructure to collect data from different sensors in the field;

•    to develop automated tools for the real-time analysis of collected data, for extracting their ecological significance;

•    to examine the relevance of our sentinel systems to assess the quality of the environment, particularly in terms of chemical status and landscape integrity.

Contact

arnaud.elger@univ-tlse3.fr

Projet VILAGIL

Le projet VILAGIL porté par Toulouse Métropole, Tisséo, le SICOVAL et le PETR Portes de Gascogne a été retenu par l’Etat dans le cadre de l’appel à projets « Territoires d’Innovation » comme annoncé par le Premier Ministre ce vendredi 13 septembre. Il entend améliorer les conditions de déplacements à Toulouse.

Le dossier de presse est disponible ici

Un article de presse en parle ici

Impact of spatial strategies of bees on colony performance

Context Presentation

Foraging for food to substantiate one’s needs is of great importance for every species. In the case of bees, who are a social species, only a small selection of individuals has the task to bring the food for the whole colony, and thus has to take into account the needs of the entire population in terms of nutrients. As central place foragers, bees will explore and exploit flowers around their nest, where different species provide bees with different amounts and qualities of nectar. Bees are as a result faced with a complex problem: finding flowers that are not already exploited by other bees, which provide the nutrients in the right amount (either by foraging on a single species of flowers with a balanced diet, or on multiple species with unbalanced but complementary diets), and create a stabilized exploitation route between them. Following each individual bee in its foraging trip has been a technological challenge. However, today, as different tracking technologies (radars, camera tracking) are being developed, assisted with colony monitoring systems (connected hives), we can finally get some insights on these complex behaviors. As data are still scarce and only available in limited, simplified situations, building theoretical models that successfully replicate the spatial strategies of bees will allow us to make predictions on more complex and ecologically relevant scenarios.

Scientific Goals

- Conduct experimental tests for the fundamental hypotheses of the behavior.

- Build a new model based on experimental tests of simple situations and theoretical knowledge of bee foraging behavior.

- Test the model’s predictions in complex environmental situations.

Keywords

Spatial strategy, foraging behavior, nutritional geometry, connected hive

Contacts

thibault.dubois@univ-tlse3.frmathieu.lihoreau@univ-tlse3.fr

Life Cycle Assessment (LCA) of Lighting Systems: Environmental, Economics and Human Impacts Analysis

Context Presentation

When it comes to identifying and measuring the quantifiable effects of products or services on the environment, Life Cycle Assessment (LCA) is probably the most powerful and recognized tool. Thanks to a multicriterion and a cradle-to-grave approach, LCA identifies and quantifies, throughout the life of products, the physical flows of matter and energy associated with human activities (extraction of raw materials required for the manufacture of the product, distribution, use, collection and disposal to end-of-life systems and all phases of transport). For each of its flows, there are impact indicators that establish the overall potential impact of the system on our environment.

During past years, smart lighting technologies allowed significant improvements regarding lamp efficiency during use phase (from 19% to 15% of global electricity consumption), nevertheless, there are direct or indirect impacts on our environment, health, well-being or productivity not taken into account into Life Cycle Assessment (LCA) studies, and we can’t no longer neglected them.

image035

Figure 1: Impacts assessment of lighting systems

Scientific Goals

- How to extend LCA methodology in order to determine which lighting system is most performant regarding environmental, economic and social aspect?

- How using phase could impact on lamp overall performance (Light Loss Factor, Mean Time Before Failure and Maintenance Factor)?

- Which criteria should be used to reflect lighting impact on human health or ecosystems during use phase?

Keywords

Lighting systems, Life Cycle Assessment, Circadian effect, Life cycle Cost, Multicriterion analysis.

Contacts

kevbertin@gmail.com – bertin@laplace.univ-tlse.frEncadrants : georges.zissis@laplace.univ-tlse.fr , marc2.mequignon@free.fr

Animal Minds (OpenFeeder)

Context Presentation

- Study the behavior and cognition of titmouse in their natural environment using an electronic feeder, called an Openfeeder.

- Developed by SETE (Station of Theoretical and Experimental Ecology) and SelectDesign.

- System successfully deployed as an island (4 to 8 feeders) on 2 high altitude sites and 3 low altitude sites around SETE (fall 2018).

- A feeder = PIR sensor (detect the presence of a bird), RFID reader (identification), a door controlled by a servomotor. The bird is banded (a transponder), a software with several programmed cognitive task scenarios.

- Principle of operative conditioning (learning a stimulus/reward combination).

- Data collection by USB stick, OF by OF!

image033image034

Figure 1 : an 8 OpenFeeder station

Scientific Goals

- Synchronize the clocks of the OpenFeeder on each station

- Collect data (logs): centralization on an OF

- Transmit all collected data to the Laboratory (SETE), with RF module and GSM module

- Transmit errors and anomalies in real time by SMS via the GSM module

- Transmit config. (cognitive task scenarios,.ini files)

Keywords

Birdwatch, OpenFeeder, GSM, ALPHA_TRX 433s,

Contacts

kacimi@irit.fr | thiebolt@irit.fr | mcauchoixxx@gmail.comanzilane.mmadi@irit.fr | anzilane.mmadi@univ-tlse3.fr

Smart Clean Garden-Toulouse

Context Presentation

A Smart Clean Garden (SCG), is a planted filter recognised as nature based solution for water treatment of domestic water. Inspired from water quality regulation of natural rivers, a SCG shelters an enhanced biodiversity for encreased capacity of sewage in limited area of green cities. The addition of IoT as environmental sensors (moisture, NO3, Ph, conductivity,…) allows to survey and to better understand the complex system functioning inside the filter. Collected data will feed regular deterministic modeling and IA to describe the pollutant reduction process.

image024image025

Figure 1 : Planted filters with 2 granulometric levels that already exist on USTH campus at Hanoi, made by Epurteck as the first SCG pilote for demonstration and logo of the project

Scientific Goals

- To demonstrate that it is possible to treat a part of domestic water of UT3 campus and producing recycled water for gardening and watering the green area of the campus

- To test the capacity building of the water purification in the planted filter by using IoT survey and environmental data modelling ?

- To identify what are the main drivers that lead to the pollutant removial in this complex system made with sediment, water , biodiversity as a micro-organisms, macro-invertebrates and plants communities, nutrients, natural organic mater and antropic molecules (fertilisers, persistant organic pollutant, medical residus, etc…

Keywords

neOCampus, smart clean, garden, water, intelligent reuse, innovation,

Contacts

Magali Gerino (magali.gerino@univ-tlse3.fr) ; Léo Garcia (leo.garcia@iut-tlse3.fr) ; Dan Tan Costa ( EPURTECK, dan@epurtek.fr)

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